Reliability Analysis Based on a Jump Diffusion Model with Two Wiener Processes for Cloud Computing with Big Data

• Published in: Entropy (Basel, Switzerland) Vol. 17; no. 12; pp. 4533 - 4546
• Main Authors: Tamura, Yoshinobu, Yamada, Shigeru
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.07.2015
• Subjects: big data; cloud computing; jump diffusion model; reliability analysis; Wiener process
• ISSN: 1099-4300; 1099-4300
• DOI: 10.3390/e17074533

At present, many cloud services are managed by using open source software, such as OpenStack and Eucalyptus, because of the unification management of data, cost reduction, quick delivery and work savings. The operation phase of cloud computing has a unique feature, such as the provisioning processes, the network-based operation and the diversity of data, because the operation phase of cloud computing changes depending on many external factors. We propose a jump diffusion model with two-dimensional Wiener processes in order to consider the interesting aspects of the network traffic and big data on cloud computing. In particular, we assess the stability of cloud software by using the sample paths obtained from the jump diffusion model with two-dimensional Wiener processes. Moreover, we discuss the optimal maintenance problem based on the proposed jump diffusion model. Furthermore, we analyze actual data to show numerical examples of dependability optimization based on the software maintenance cost considering big data on cloud computing.